Triple

T4219285
Position Surface form Disambiguated ID Type / Status
Subject Eidsvoll E94298 entity
Predicate region P40 FINISHED
Object Romerike
Romerike is a traditional district in southeastern Norway, northeast of Oslo, known for its mix of agricultural landscapes, growing suburbs, and key transport links including Oslo Airport Gardermoen.
 E421025 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Romerike | Statement: [Eidsvoll, region, Romerike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Romerike
Context triple: [Eidsvoll, region, Romerike]
  • A. Horahane Roma
    Horahane Roma are a subgroup of Roma people traditionally associated with Islam and found primarily in regions influenced by the former Ottoman Empire.
  • B. Ruoms
    Ruoms is a small commune in the Ardèche department of southern France, known for its scenic riverside setting and outdoor tourism.
  • C. Rumuola
    Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
  • D. Heimirich
    Heimirich is a Germanic given name of ancient origin, from which the modern name Heinrich is derived.
  • E. Gwandara
    Gwandara are an ethnic group in central Nigeria known for their distinct language and cultural traditions, primarily inhabiting parts of Nasarawa and neighboring states.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Romerike
Triple: [Eidsvoll, region, Romerike]
Generated description
Romerike is a traditional district in southeastern Norway, northeast of Oslo, known for its mix of agricultural landscapes, growing suburbs, and key transport links including Oslo Airport Gardermoen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Romerike
Target entity description: Romerike is a traditional district in southeastern Norway, northeast of Oslo, known for its mix of agricultural landscapes, growing suburbs, and key transport links including Oslo Airport Gardermoen.
  • A. Horahane Roma
    Horahane Roma are a subgroup of Roma people traditionally associated with Islam and found primarily in regions influenced by the former Ottoman Empire.
  • B. Ruoms
    Ruoms is a small commune in the Ardèche department of southern France, known for its scenic riverside setting and outdoor tourism.
  • C. Rumuola
    Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
  • D. Heimirich
    Heimirich is a Germanic given name of ancient origin, from which the modern name Heinrich is derived.
  • E. Gwandara
    Gwandara are an ethnic group in central Nigeria known for their distinct language and cultural traditions, primarily inhabiting parts of Nasarawa and neighboring states.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e0b2ee08190930600e1e802b325 completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5963d3bd8819086465701f4c6adf5 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596dbb19c81908080af37ecfe2497 completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b5976663d88190a73a729554e91074 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:04 p.m.